The DQMD tag
A system of direct quotation meta-data tagging for EAP corpora
Bibliographic Data
| ID | 10259241 |
|---|---|
| Authors | Peter Docherty (0000-0002-9975-6435), Tomáš Mach (0000-0002-8178-717X) |
| Year | 2017 |
| Volume | 193 |
| Pages | 23-35 |
| Publication date | 2017-04-27 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Lingua (JOURNAL) |
| Journal identifiers | ISSN: 0024-3841 • E-ISSN: 1872-6135 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.lingua.2017.04.004 |
| OpenAlex | W2609019911 |
| Language | EN |
| Citations received | 1 |
| References cited | 16 |
Information retrieval · Natural language processing · Computer Science · Mathematics, Computing, and Information Processing · Natural Language Processing Techniques · SAS software applications and methods
Self‐citation and self‐reference
Rhetorical functions of citations in high- and low-rated master's theses
Academic attribution
Evaluation in the Reporting Verbs Used in Academic Papers
Citation Analysis and Discourse Analysis
A corpus study of some English verbs of attribution
Tense Choices in Citations
Borrowing Others' Words
Good and original
An interview-based study of the functions of citations in academic writing across two disciplines
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,17 |
| Citation span | 2020 - 2020 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |